Sestamibi Retention in Reactive Lymph Node Hyperplasia
Bibliographic record
Abstract
A 52-year-old woman had mild hypercalcemia (maximum serum calcium level, 2.8 mmol/l; normal range, 2.1 to 2.6 mmol/l) with a mildly elevated serum parathyroid hormone level (73 ng/l; normal range, 12 to 72 ng/l). Parathyroid imaging performed to localize a presumed adenoma showed definite localization to the right side. At surgery, several large lymph nodes were found below the right lobe of the thyroid along the tracheoesophageal groove, and pathologic evaluation of one excised node indicated reactive lymph node hyperplasia. Subsequently, all four parathyroid glands were studied and found to be normal. On follow-up, the patient became normocalcemic. The results of repeated scanning performed 2 months after operation were normal. Although false-positive lymph node uptake has previously been described with subtraction techniques, this is the first time that reactive lymph nodes have been reported to show sestamibi retention with the double-phase technique.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".